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ProArch is seeking a Senior Data Engineer with 5–8 years of experience to join our Data & Analytics practice. In this role, you will design, develop, and optimize scalable cloud-based data solutions that support enterprise analytics, reporting, and AI initiatives. You will work with large-scale datasets using Azure Data Platform technologies , build high-performance data pipelines, and collaborate directly with business and client stakeholders to deliver reliable, secure, and scalable data solutions.
The ideal candidate has strong expertise in SQL, Python, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake , and Microsoft Fabric (preferred) , along with solid experience in data modelling , DataOps, and client-facing engagements.
You’ll keep growing. You’ll work alongside domain experts who love to share what they know.
You’ll be supported, heard, and trusted to make an impact.
You’ll take on projects that touch industries, communities, and lives.
You’ll have the time to focus on what matters most in your life outside of work.
At ProArch, you’ll be part of teams that design and deliver technology solutions solving real business challenges for our clients. With services spanning AI, Data, Application Development, Cybersecurity, Cloud & Infrastructure, and Industry Solutions, your work may involve building intelligent applications, securing business‑critical systems, or supporting cloud migrations and infrastructure modernization.
Every role here contributes to shaping outcomes for global clients and driving meaningful impact. You’ll collaborate with experts across data, AI, engineering, cloud, cybersecurity, and infrastructure—solving complex problems with creativity, precision, and purpose. You’ll join a culture rooted in technology, curiosity, and continuous learning. A place where we move fast, trust you to make an impact, encourage innovation, and support your growth.
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ProArch is seeking a Senior Data Engineer with 5–8 years of experience to join our Data & Analytics practice. In this role, you will design, develop, and optimize scalable cloud-based data solutions that support enterprise analytics, reporting, and AI initiatives. You will work with large-scale datasets using Azure Data Platform technologies , build high-performance data pipelines, and collaborate directly with business and client stakeholders to deliver reliable, secure, and scalable data solutions.
The ideal candidate has strong expertise in SQL, Python, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake , and Microsoft Fabric (preferred) , along with solid experience in data modelling , DataOps, and client-facing engagements.
Provides managed cybersecurity, cloud, and data engineering services.
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Senior · 5+ years experience
Hybrid
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